In order to deal with the non-stationary characteristics of blasting vibration signals and the end issue in the empirical mode decomposition(EMD), an improved endpoint continuation method is proposed. First, the linea...In order to deal with the non-stationary characteristics of blasting vibration signals and the end issue in the empirical mode decomposition(EMD), an improved endpoint continuation method is proposed. First, the linear continuation method of extreme points is used to determine the extremum of the signal endpoint fast. Secondly, the extreme points of transition section outside the signal ends are obtained by a mirror continuation method of extreme points, and then the envelope and continuation curve of the transition section of the signal are constructed. Lastly, the sinusoid of the stationary section outside the signal is constructed to achieve the continuation curve from the transition section to the stationary section. Based on the "singular extreme points" phenomenon of blasting vibration signal, the negative maxima and positive minimum are eliminated, then the maximum and minimum are guaranteed to appear at intervals. Thus,the number of iterations is reduced and the instability of EMD decomposition is improved. The calculation formula of amplitude, cycle and initial phase are given for the transition section and stationary section outside the signal. The endpoint processing effect of the simulated signal and the measured blasting vibration signal show that the improved endpoint continuation method can suppress the signal endpoint effect well.展开更多
利用具体的非平稳齿轮箱振动信号,分别应用局域均值分解方法(Local Mean Decomposition,LMD)和经验模态分解方法(Empirical Mode Decomposition,EMD)进行了模态分解,并计算得出能量熵。物理意义明确且非常直观,用LMD方法分解齿轮箱振动...利用具体的非平稳齿轮箱振动信号,分别应用局域均值分解方法(Local Mean Decomposition,LMD)和经验模态分解方法(Empirical Mode Decomposition,EMD)进行了模态分解,并计算得出能量熵。物理意义明确且非常直观,用LMD方法分解齿轮箱振动信号模态混叠程度要轻于EMD方法分解所得模态混叠程度。同时,从端点效应和分解速度两方面将两种分解方法做了对比,LMD方法抑制端点效应的能力强于EMD方法,且分解速度较EMD方法快。展开更多
基金Supported by the National Natural Science Foundation of China(51374212)
文摘In order to deal with the non-stationary characteristics of blasting vibration signals and the end issue in the empirical mode decomposition(EMD), an improved endpoint continuation method is proposed. First, the linear continuation method of extreme points is used to determine the extremum of the signal endpoint fast. Secondly, the extreme points of transition section outside the signal ends are obtained by a mirror continuation method of extreme points, and then the envelope and continuation curve of the transition section of the signal are constructed. Lastly, the sinusoid of the stationary section outside the signal is constructed to achieve the continuation curve from the transition section to the stationary section. Based on the "singular extreme points" phenomenon of blasting vibration signal, the negative maxima and positive minimum are eliminated, then the maximum and minimum are guaranteed to appear at intervals. Thus,the number of iterations is reduced and the instability of EMD decomposition is improved. The calculation formula of amplitude, cycle and initial phase are given for the transition section and stationary section outside the signal. The endpoint processing effect of the simulated signal and the measured blasting vibration signal show that the improved endpoint continuation method can suppress the signal endpoint effect well.
文摘利用具体的非平稳齿轮箱振动信号,分别应用局域均值分解方法(Local Mean Decomposition,LMD)和经验模态分解方法(Empirical Mode Decomposition,EMD)进行了模态分解,并计算得出能量熵。物理意义明确且非常直观,用LMD方法分解齿轮箱振动信号模态混叠程度要轻于EMD方法分解所得模态混叠程度。同时,从端点效应和分解速度两方面将两种分解方法做了对比,LMD方法抑制端点效应的能力强于EMD方法,且分解速度较EMD方法快。
